lossless compression 中文意思是什麼

lossless compression 解釋
非損耗式壓縮
  • lossless : 無損的
  • compression : n. 1. 壓縮;壓緊;濃縮,緊縮。2. 加壓;壓抑。3. (表現的)簡練。4. 應壓試驗。
  1. Lossless compression of hyperspectral images based on multi - predictors

    設計了一種徑向基神經網路
  2. Experimental results show that the model achieves higher lossless compression rate of image than lossless spiht and lossless ebcot used in jpeg2000

    實驗結果表明,利用這種模型獲得的平均無損壓縮比高於spiht和用於jpeg2000的ebcot 。
  3. It can perform both lossy and lossless compression, and progressive codec, by providing high compression rate and image reconstruction quality

    在研究嵌入式零樹小波編碼演算法及原理的基礎上,描述了演算法的應用過程,闡述了具體的實現思路。
  4. The second chapter explains the character of mfl data by introducing the principle of pipeline mfl inspection and the structure of mfl detector, and then brings forward the diagnostically lossless compression request by combine discuss the analyzing method of inspection results

    第二章通過對管道漏磁檢測原理和檢測器結構的介紹,說明漏磁檢測數據的特徵並結合檢測結果的分析方法提出對管道漏磁檢測數據的檢測無損壓縮要求。
  5. In digital library building, lossless compression is mainly used in compressing digitalization of classical book, art of draws and calligraphies

    在數字圖書館建設中,無損圖像壓縮主要用於對數字化后古籍、歷史名字畫的壓縮。
  6. In the applications of wavelets, the vlsi design has been highly required. the coefficients in the integer wavelet transform are integer, so that the perfect reconstruction and lossless compression is possible

    整數小波變換由於其小波系數為整數,逆變換可完美恢復小波變換前的數據,因此在無損圖像壓縮等領域有著重要應用。
  7. Lossless compression of still images based on fuzzy - combination prediction

    基於模糊混合預測的靜態圖像無損壓縮
  8. Fast multi - level clustering lossless compression algorithm for remotely sensed images

    多層次快速聚類的遙感圖象無損壓縮
  9. Lossless compression algorithm for medical image based on integer wavelet transform and dpcm

    與整數小波變換結合的醫學圖像無損壓縮演算法
  10. Research on image lossless compression method based on adaptive bit - level arithmetic coding

    基於二值自適應算術編碼的圖像無損壓縮演算法研究
  11. Finally, lossless compression by means of integer lifting scheme is realized. after selecting a practical bases of lifting scheme transform, we put forward to two lossy compression algorithms based on adaptive transform and demonstrate its feasibility and validity by simulation and experiment

    實現了將整數提升框架應用於無損壓縮;選擇了一個實際可行的提升變換基庫,給出了兩種基於自適應變換的有損圖像壓縮演算法,實驗模擬結果證明了演算法的可行性及有效性。
  12. Information technology - procedure for the registration of algorithms for the lossless compression of data

    信息技術.數據無損壓縮演算法的登記規程
  13. Information technology - lossless and near - lossless compression of continuous - tone still images : baseline

    信息技術.連續音調靜止圖像的無損失和接近無損失壓縮.基線
  14. Information technology - lossless and near - lossless compression of continuous - tone still images - part 2 : extensions

    信息技術.連續影調靜止圖像的無損失和接近無損失壓縮.第2部分:擴充部分
  15. An adaptive predictive coding based on image segmentation for lossless compression of ultrasonic well logging images

    基於分塊自適應預測的超聲測井圖象無損壓縮編碼
  16. At last, according to the significant spectral correlation of structure within the hyperspectral images, we propose a hyperspectral image lossless compression algorithm based on classification and prediction

    最後根據高光譜圖像譜間的結構相關性,提出一種基於分類預測的高光譜圖像無損壓縮演算法。
  17. According to information theory, we conclude that lossless compression of radar data could n ' t obtain high compression ratio. this point has been verified by the results of the experiments

    本文運用信息論的有關理論,得出了雷達回波的無損壓縮演算法不可能獲得高的壓縮比的結論並且實驗的結果也驗證了結論是正確的。
  18. This algorithm adopts peak error or maximum amplitude error criterion to control the level of distortion in pipeline leak signals, and doesn ’ t change the subsequent location error of adaptive time - delay estimation in the case of a small quantization error, so as to implement the near - lossless compression of pipeline leak signals

    該近無損壓縮演算法設計了基於峰值誤差準則的量化方案對管道泄漏信號的失真度進行控制,在量化誤差較小時並不影響后續自適應時延估計的定位誤差,從而實現對管道泄漏信號的近似無損壓縮。
  19. Cd - rom information technology - lossless and near - lossless compression of continuous - tone still images - baseline cd - rom

    信息技術.全色調靜態圖象的無損或接近無損的壓縮.基線
  20. In order to improve the compression ratio of pipeline leak signals, an error - controlled quantization method is designed in this paper, and on the basis of lossless compression algorithm, a near - lossless compression algorithm is proposed and implemented in pipeline leak detection and location system

    為了進一步提高管道泄漏信號的壓縮比,設計了誤差可控的量化方案,在管道泄漏信號無損壓縮演算法的基礎上,提出了一種適合於管道泄漏檢測定位系統的近無損壓縮演算法。
分享友人